When should you choose Harness?

You already run delivery on the Harness platform. Chat and meeting signals should be correlated with system changes during incidents. Access must run through your identity provider, with roles scoped finely. Graded by Agentic Index against the same capability axes from each vendor's own published materials. No vendor pays for placement.

When should you choose SRE.ai?

You deliver Salesforce, and agents should design, build and deploy it. Agents should pause for approval at each stage. Every agent action should land in an audit trail with its reasoning. Graded by Agentic Index against the same capability axes from each vendor's own published materials. No vendor pays for placement.

How much do Harness and SRE.ai cost?

Harness: AI SRE sits in the Enterprise plan as an Operations module; contact sales. SRE.ai: Contact sales / book a demo (enterprise). Graded by Agentic Index against the same capability axes from each vendor's own published materials. No vendor pays for placement.

Agentic Index

Harness vs SRE.ai (2026)

Both vendors last verified September 29, 2026

Harness and SRE.ai are both DevOps platforms with AI agents, for different stacks. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Harness AI SRE is a change agent with an AI Scribe that captures Slack, Teams and Zoom signals and correlates them with system changes across the Harness DevOps platform. It sits in the Enterprise plan as an Operations module. SRE.ai is an AI DevOps platform for Salesforce delivery, with Design, Build and Deploy agents that pause for approval and automations driven by events across Salesforce orgs, GitHub, GitLab and Jira. Harness grounds its root cause analysis in the deployments, feature flags and configuration changes it already tracks, behind SSO and advanced role based access. SRE.ai's agents show every action with their reasoning and timestamps, and its Build Agent writes regression tests for each Salesforce change. Choose Harness if you already deliver on the Harness platform. Choose SRE.ai if you deliver Salesforce.

On the Agentic Index production ops ranking, SRE.ai clears the bar and Harness does not. SRE.ai documents all five resolution loop capabilities in full; Harness does not document observability and auditability in full. 15 of the 38 vendors in the lane clear it. See the production ops ranking

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Harness and SRE.ai are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

At a glance

Harness

Category: SRE / DevOps agent
Entry price: AI SRE sits in the Enterprise plan as an Operations module; contact sales
Free or trial: Free plan covers Harness Open Source and Litmus Chaos, not AI SRE; demo on request
Pricing confidence: contact only

SRE.ai

Category: SRE / DevOps agent
Entry price: Contact sales / book a demo (enterprise)
Free or trial: Demo
Pricing confidence: contact only

Keep exploring

Choose Harness if

You already run delivery on the Harness platform.
Chat and meeting signals should be correlated with system changes during incidents.
Access must run through your identity provider, with roles scoped finely.

Choose SRE.ai if

You deliver Salesforce, and agents should design, build and deploy it.
Agents should pause for approval at each stage.
Every agent action should land in an audit trail with its reasoning.

Feature	H Harness	S SRE.ai
Action & orchestration
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.
HarnessIntegrations & Tool Calling AI SRE connects Datadog, Splunk, New Relic, Dynatrace, Slack, Microsoft Teams, Zoom, Jira, ServiceNow and GitHub with Harness's own deployment, feature flag and pipeline records. Automation runbooks execute rollbacks and mitigations. Sourceharness.io/products/ai-sreread 2026-09-29
SRE.aiIntegrations & Tool Calling Agents act in the customer's systems. The GitHub App lets SRE.ai track branches, trigger automations and manage pull requests. Jira links deployments to tickets and automates status updates, and the Deploy Agent deploys to connected Salesforce orgs. GitLab, Microsoft Teams and Supabase integrations sit alongside them. SourceSRE.ai docs, Integrations and Agents; docs.sre.ai/setting-up-sre.ai/integrationsread 2026-09-29
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.
HarnessWorkflow Orchestration The AI Scribe builds the incident record while AI root cause analysis correlates deploys, feature flags, infrastructure and monitors. On call routing, escalation rules and automation runbooks for remediation run alongside them within the Harness pipeline platform. Sourceharness.io/products/ai-sreread 2026-09-29
SRE.aiWorkflow Orchestration Customers build Automations in a builder. Each starts with a trigger followed by Steps that 'define the sequence of instances and dependencies', with conditions and criteria for each step. Chat requests are routed to Design, Build and Deploy agents that hand work along the lifecycle. SourceSRE.ai docs, Automations and Agents; docs.sre.ai/using-sre.ai/automationsread 2026-09-29
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.
HarnessTriggers & Channel Coverage Alerts are ingested and correlated from monitoring tools, and inbound webhooks create alerts from any JSON payload. Related alerts are deduplicated into incidents that route to on call by escalation rules, and the AI Scribe records across Slack, Zoom and Teams as the incident runs. Sourceharness.io/products/ai-sreread 2026-09-29
SRE.aiTriggers & Channel Coverage An Automation is 'a sequence that runs automatically when a specific event happens'. The Deployment trigger fires 'when a deployment completes', and the automation then runs without anyone starting it. The other trigger is manual, and agents also answer chat requests. SourceSRE.ai docs, Automations and Triggers; docs.sre.ai/using-sre.ai/automations/triggersread 2026-09-29
Knowledge & context
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.
HarnessKnowledge Grounding & RAG Root cause analysis draws on the change intelligence the platform keeps. That means the deployments, feature flags, configuration and infrastructure events recorded in Harness, which attach to incidents automatically. Sourceharness.io/products/ai-sreread 2026-09-29
SRE.aiKnowledge Grounding & RAG Agents draw on the connected Salesforce orgs, repositories and tickets, read at task time. Each agent is 'powered by a specialized LLM trained on Salesforce development patterns', so its Salesforce knowledge lives in the model's weights. SRE.ai names no maintained index or graph over the customer's knowledge. SourceSRE.ai docs, Agents; docs.sre.ai/using-sre.ai/agentsread 2026-09-29
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.
HarnessMemory & State Persistence Incident records, timelines and change history are the application's data. Harness names no memory layer for the AI SRE agents. Sourceharness.io/products/ai-sreread 2026-09-29
SRE.aiMemory & State Persistence No state carries over from previous runs, which SRE.ai says keeps agent results reproducible and prevents unintended side effects between tasks. SourceSRE.ai docs, Agents; docs.sre.ai/using-sre.ai/agentsread 2026-09-29
Control & trust
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.
HarnessHuman Oversight & Guardrails Remediation runs as one click automation runbooks for rollbacks and mitigations that a responder triggers, with ownership policies and escalation rules governing who acts. Sourceharness.io/products/ai-sreread 2026-09-29
SRE.aiHuman Oversight & Guardrails Agents pause at key decision points for user input. Design documents need approval before building begins, generated code is presented for review before it is committed, and a deployment shows what will change before it runs. Member roles are read only. SourceSRE.ai docs, Agents and Roles and permissions; docs.sre.ai/using-sre.ai/agentsread 2026-09-29
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.
HarnessSecurity, Identity & Governance Access controls include SSO with the corporate identity provider, two factor authentication, Advanced Role-Based Access Control over users and service accounts, and an account and organization level audit trail. Compliance covers SOC 2 and ISO 27001, 27017 and 27018, and Harness runs a trust center. Sourceharness.io/securityread 2026-09-29
SRE.aiSecurity, Identity & Governance Customers get Owner, Admin and Member roles. Members are read only and Admins cannot delete. GitHub access runs through a GitHub App. A Security Portal sits at trust.sre.ai, and security and compliance documents are offered as files, but no readable attestation is published in either place. SourceSRE.ai docs, Roles and permissions and Security and compliance documents, and trust.sre.ai; docs.sre.ai/setting-up-sre.ai/roles-and-permissionsread 2026-09-29
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.
HarnessObservability & Auditability The AI Scribe keeps an automatic incident record and live timeline from Slack, Zoom and Teams for postmortems, which records what people said and decided. Harness names no record of the steps or tools the root cause agent used. The platform also keeps an account and organization level audit trail. Sourceharness.io/products/ai-sreread 2026-09-29
SRE.aiObservability & Auditability Agents 'surface every action they take', with their reasoning, structured plans and step by step progress with timestamps and artifacts. Each action is tied to Changes, which tracks each change from design through deployment. Automations keep a run history in the Activity tab. SourceSRE.ai docs, Agents and Automations; docs.sre.ai/using-sre.ai/agentsread 2026-09-29
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.
HarnessDeployment & Data Residency AI SRE is sold as an Operations module on the Enterprise plan of the Harness SaaS platform. The Self-Managed Enterprise Edition supports Cloud Cost Management, Chaos Engineering, CD and GitOps, CI, Code Repository, Database DevOps, Feature Management, IaC Management, Platform, Supply Chain Security and Security Testing, but not AI SRE, so AI SRE cannot be self hosted. No region selection or data residency option for AI SRE is published. Sourcedeveloper.harness.io/self-managed-enterprise-edition/new-to-self-managed-enterprise-edition/smp-supported-platformsread 2026-09-30
SRE.aiDeployment & Data Residency The hosted service connects to the customer's orgs and repositories. No hosting region or customer environment option is published. SourceSRE.ai docs and trust.sre.airead 2026-09-29
Solution readiness
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.
HarnessPrebuilt Agents, Templates & Packs Two agents ship, the AI Scribe and AI root cause analysis. The second reads the first's timeline, so the two work together as one incident product. Runbooks are the customer's own. Sourceharness.io/products/ai-sreread 2026-09-29
SRE.aiPrebuilt Agents, Templates & Packs Three named prebuilt agents each do their own job. The Design Agent writes design documents, the Build Agent writes code and test classes, and the Deploy Agent handles deployments. A prompt library and an automations cookbook sit beside them. SourceSRE.ai docs, Agents and the docs index; docs.sre.ai/using-sre.ai/agentsread 2026-09-29
Platform extensibility
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.
HarnessModel Flexibility & Routing No model provider is named for the AI SRE agents, and Harness does not say whether customers can choose a model. Sourceharness.io/products/ai-sreread 2026-09-29
SRE.aiModel Flexibility & Routing Each agent is 'powered by a specialized LLM trained on Salesforce development patterns', and SRE.ai picks the model. It names no provider and no way for customers to choose a model. SourceSRE.ai docs, Agents; docs.sre.ai/using-sre.ai/agentsread 2026-09-29
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.
HarnessAPIs, SDKs & MCP Extensibility AI SRE data is released into the Harness Knowledge Graph and available through MCP for cross module analytics. The Harness MCP server has an endpoint, OAuth or API key authentication and create tools across 139 resource types. None of its tools covers AI SRE incidents, on call or runbooks, and Harness publishes no AI SRE API reference. Sourcedeveloper.harness.io/harness-ai/3.0/use-harness-ai/ide-and-integrations/mcp-server/harness-mcp-serverread 2026-09-30
SRE.aiAPIs, SDKs & MCP Extensibility No API, SDK, CLI or MCP server for driving SRE.ai is published. Its documentation covers setup, chat, agents, changes, automations, use cases, troubleshooting and security. SourceSRE.ai docs index; docs.sre.airead 2026-09-29
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.
HarnessTesting, Debugging & Optimization Postmortem automation records incidents, not agent quality. Harness names no evaluation or feedback loop for the AI SRE agents. Sourceharness.io/products/ai-sreread 2026-09-29
SRE.aiTesting, Debugging & Optimization Testing is aimed at the customer's Salesforce changes. The Build Agent writes regression test classes, QA and code review are among the published use cases, and generated code is reviewed before commit. SRE.ai names no evaluation of the agents' own output. SourceSRE.ai docs, Agents and the docs index; docs.sre.ai/using-sre.ai/agentsread 2026-09-29
Specialist automation
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.
HarnessBrowser & Computer Use Agents work through integrations, runbooks and chat. Harness names no browser, desktop or computer control. Sourceharness.io/products/ai-sreread 2026-09-29
SRE.aiBrowser & Computer Use Agents work through the Salesforce, GitHub, GitLab and Jira integrations and chat. SRE.ai names no browser, desktop or computer control. SourceSRE.ai docs; docs.sre.airead 2026-09-29

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing	H Harness	S SRE.ai
Entry price Lowest public entry point	AI SRE sits in the Enterprise plan as an Operations module; contact sales	Contact sales / book a demo (enterprise)
Pricing confidence How public the numbers are	Contact only	Contact only
Billing Primary billing axis	—	—
Variable cost Workload / overage exposure	High variable cost	High variable cost
Free tier / trial Try before you buy	No free tierTrial	No free tier
Buying motion Self-serve vs sales call	Sales call	Sales call
Pricing verified When this pricing was last checked	Sep 30, 2026	Jul 22, 2026

Product updates

Newest first, each linked to its source.

Harness

October 30, 2026 · Observability / auditability

A new AWS CloudWatch agent for Harness runtime protection, first released as version 0.1.0, discovers AI agents running on AWS Bedrock and collects data from them, including CloudWatch log events.
Source
October 8, 2026 · Agent capability

Harness acquired Cosmos, the Auggie CLI and the Code Context Engine from Augment Code and made Harness Cosmos available now.
Source
September 28, 2026 · Integrations

A new Harness connector brings its delivery pipelines into ChatGPT and Codex.
Source